Binomial models uncover biological variation during feature selection of droplet-based single-cell RNA sequencing

• Breanne Sparta,

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Department of Integrative Biology and Physiology, University of California, Los Angeles, California, United States of America, Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America

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• Timothy Hamilton,

  Roles Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliations Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America, Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, United States of America

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• Gunalan Natesan,

  Roles Methodology, Software

  Affiliation Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America

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• Samuel D. Aragones,

  Roles Formal analysis, Software, Writing – original draft, Writing – review & editing

  Affiliation Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America

  https://orcid.org/0000-0002-5071-797X

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• Eric J. Deeds

  Roles Conceptualization, Funding acquisition, Methodology, Resources, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: deeds@ucla.edu

  Affiliations Department of Integrative Biology and Physiology, University of California, Los Angeles, California, United States of America, Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America

  https://orcid.org/0000-0002-2868-7495

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